Introduction to Wireless Sensor Networks

Kamal, Zille Huma; Salahuddin, Mohammad A.

doi:10.1007/978-1-4939-2468-4_1

Cited by 15 publications

(8 citation statements)

References 80 publications

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“…As sensor networks have many advantages such as relatively dense distribution, large monitoring range, and being free from limiting by geographical locations, it is often adopted in environmental protection [1][2][3]. There have been many research works on environment monitoring, pollution detection, and pollution source localization using sensor networks.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Pollution Monitoring Using Sensor Networks in Environment Protection

Luo

Yang

2019

Journal of Sensors

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Detecting pollution timely and locating the pollution source is of great importance in environmental protection. Considering advantages of the sensor network technology, sensor networks have been adopted in pollution monitoring works. In this paper, a survey on researches of pollution monitoring using sensor networks in environment protection is given. Firstly, sensors and pollution monitoring network systems are studied. Secondly, different pollution detection methods are analyzed and compared. Thirdly, an overview of state-of-art technologies on pollution source localization is given. Finally, challenges on pollution monitoring using sensor networks are presented.

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Section: Introductionmentioning

confidence: 99%

A Survey on Pollution Monitoring Using Sensor Networks in Environment Protection

Luo

Yang

2019

Journal of Sensors

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“…However, unlike on-board robotics, it isn't possible to position IoT sensors in a flexible manner that facilitates the achievement of more active sensing approaches. The concept of link multiple sensors is known as wireless sensors network (WSN), which was used to operate smart antenna in order to increase the efficiency of performance and energy consumption (Fong, 2017;Salahuddin, 2015;Skiani et al, 2012). The WSN was studied to work for different mediums and environments such as underground applications and oil and gas monitoring.…”

Section: Introduction *Thementioning

confidence: 99%

Internet of radar things for cognitive robotics

Almutiry¹

2021

Int. j. adv. appl. sci.

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Adapting Radar into industry become popular due to the enhancement of computational and communication systems. Industry 4.0 opens the door to use 5G connection to provide effective communication between things in the industry-the concept of combining industry 4.0 and radar sensors to exceed the conventional radar application. The idea of this paper is to propose a novel scheme to connect radar into one network to be an internet of radar Things (IoRT). In this scheme, we will allow radars to communicate as one sensor that processes the data sequentially to support the right decision to be made by robotics, especially when the radar sensor is mounted in robotics. Experimental data are presented to validate the process.

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“…Moreover, other researchers worked on the improvement of gas sensors performance such as selectivity and sensitivity with the possibility of small scale integration [ 23 , 24 , 25 , 26 , 27 ]. For instance, Shi et al [ 28 ] developed cross-reactive arrays composed of metal oxide semiconductor and graphene sensors able to discriminate similar chemical vapors (methylene, o-xylene, and toluene).…”

Section: Introductionmentioning

confidence: 99%

Metal Oxide Nanoparticle-Decorated Few Layer Graphene Nanoflake Chemoresistors for the Detection of Aromatic Volatile Organic Compounds

Behi

Bohli

Casanova-Cháfer

et al. 2020

Sensors

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Benzene, toluene, and xylene, commonly known as BTX, are hazardous aromatic organic vapors with high toxicity towards living organisms. Many techniques are being developed to provide the community with portable, cost effective, and high performance BTX sensing devices in order to effectively monitor the quality of air. In this paper, we study the effect of decorating graphene with tin oxide (SnO2) or tungsten oxide (WO3) nanoparticles on its performance as a chemoresistive material for detecting BTX vapors. Transmission electron microscopy and environmental scanning electron microscopy are used as morphological characterization techniques. SnO2-decorated graphene displayed high sensitivity towards benzene, toluene, and xylene with the lowest tested concentrations of 2 ppm, 1.5 ppm, and 0.2 ppm, respectively. In addition, we found that, by employing these nanomaterials, the observed response could provide a unique double signal confirmation to identify the presence of benzene vapors for monitoring occupational exposure in the textiles, painting, and adhesives industries or in fuel stations.

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Introduction to Wireless Sensor Networks

Cited by 15 publications

References 80 publications

A Survey on Pollution Monitoring Using Sensor Networks in Environment Protection

A Survey on Pollution Monitoring Using Sensor Networks in Environment Protection

Internet of radar things for cognitive robotics

Metal Oxide Nanoparticle-Decorated Few Layer Graphene Nanoflake Chemoresistors for the Detection of Aromatic Volatile Organic Compounds

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